Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-28T05:36:03.468Z Has data issue: false hasContentIssue false

Simulation and flight test of a temperature sensing stabilisation system

Published online by Cambridge University Press:  03 February 2016

P. Herrmann
Affiliation:
Sir Lawrence Wackett Centre for Aerospace Design Technology, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia
C. Bil
Affiliation:
Sir Lawrence Wackett Centre for Aerospace Design Technology, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Australia

Abstract

Thermopile sensors detect electromagnetic radiation as a function of the object’s temperature. Because there is a temperature difference between the cold ground and the warm sky, these sensors could be used to detect the horizon and thus be used as a reference to stabilise a small aircraft, such as an unmanned aerial vehicle (UAV) in visual meteorological conditions (VMC). To verify this hypothesis, a system has been developed providing horizon detection using thermopile sensors to stabilise an R/C model aircraft. The aircraft has gone through a number of flight trials using remote control to enable and disable the stabilisation system. During the flight trials the aircraft was set at various attitudes when the system was enabled. The stabilisation system was able to assume wing level under various bank angles and weather conditions with minimum overshoot and oscillation.

Although the system shows good performance during flight trials, most of the original design was done using trial and error. A design tool was needed to implement further improvements to the system and to efficiently implement it on other aircraft. This required a good understanding of the physical behaviour of the system and the interaction between the sensors, aircraft and the environment. A mathematical model of the overall system was developed using the MATLAB/Simulink environment to simulate the behaviour of the system under various conditions. The simulation results were then compared with actual flight experiments. This paper describes the modelling techniques used for the different system components and the results of the simulation compared to actual flight trials.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2005 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Soule, H., Miller, A. AND Marvel, P.. The experimental determination of the moments of inertia of airplanes, 1933, NACA Rep, No 467.Google Scholar
2. Kirschbaum, H.W.. Estimation of moments of inertia of airplanes from design data, 1936, NACA TN No 575.Google Scholar
3. Schmidt, W. and Schieferdecker, J.. Understanding thermopile infrared sensors, Accessed 14 02 2003 . http://optoelectronics.perkinelmer.com/library/papers/tp6.htm Google Scholar
4. Melexis datasheet for the MLX90247 thermopile sensor, Accessed 14 02 2003 . http://www.melexis.com/prodmain.asp?search=thermopile&family=MLX90247 Google Scholar
5. Maple, V.. Release 4, Waterloo Maple, 1996.Google Scholar
6. Matlab/Simulink Version 6.0.0.88 Release 12, The MathWorks, ©1984–2000.Google Scholar
7. AeroSim aeronautical simulation blockset for Matlab, Unmanned Dynamics, Accessed 30 02 2003 . http://www.u-dynamics.com/contact.htm Google Scholar
8. Taylor, B., Bil, C., Watkins, S. and Egan, G.. Horizon sensing attitude stabilisation: A VMC Autopilot, 18th International UAV Systems Conference, 2003, Bristol, UK.Google Scholar
9. Videopoint Version 2.1, Lenox Softworks ©1999. http://www.lsw.com/videopoint Google Scholar